Generative AI for Code Generation Training

Coursera MOOC / Non-credit USD 49
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Generative AI for Code Generation Training

About this course

This beginner-friendly course explores how Generative AI transforms code generation across the software development lifecycle. Learn to automate code completion, script creation, test cases, documentation, and architecture using tools like GitHub Copilot. Get hands-on with real-world demos building apps, refactoring code, and structuring React projects. Understand the challenges of GenAI, such as quality and adoption, and compare top tools like Copilot, Amazon Q, and ChatGPT through real use cases from Thoughtworks and Accenture. No prior AI knowledge is required. Basic understanding of programming or software development is recommended. By the end of this course, you will be able to: - Use GenAI tools like GitHub Copilot to accelerate coding tasks - Automate script creation, documentation, and test case generation - Refactor legacy code and build structured application architectures - Understand the limitations and challenges of AI in real-world dev environments - Compare and evaluate the performance of leading GenAI coding tools Ideal for developers, software engineers, and tech professionals exploring AI-driven development workflows.

What you'll learn

  • Utilize GenAI tools to speed up coding processes
  • Automate the creation of scripts and documentation
  • Refactor existing code and design application architectures
  • Recognize limitations of AI in development settings
  • Evaluate performance of major GenAI coding tools

Skills you'll gain

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